Henning Wessels

18 papers Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian-guided inverse design of hyperelastic microstructures: Application to stochastic metamaterials. CoRR Hooman Danesh, Henning Wessels
2025	J	`jnl`	Automated Constitutive Model Discovery by Pairing Sparse Regression Algorithms with Model Selection Criteria. CoRR Jorge-Humberto Urrea-Quintero, David Anton, Laura De Lorenzis, Henning Wessels
2025	J	`jnl`	Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks. Adv. Model. Simul. Eng. Sci. David Anton, Jendrik-Alexander Tröger, Henning Wessels, Ulrich Römer, Alexander Henkes, Stefan Hartmann
2025	J	`jnl`	Drivetrain simulation using variational autoencoders. CoRR Pallavi Sharma, Jorge-Humberto Urrea-Quintero, Bogdan Bogdan, Adrian-Dumitru Ciotec, Laura Vasilie, Henning Wessels, Matteo Skull
2025	J	`jnl`	Physics-Informed Surrogates for Temperature Prediction of Multi-Tracks in Laser Powder Bed Fusion. CoRR Hesameddin Safari, Henning Wessels
2025	J	`jnl`	Uncertainty quantification in model discovery by distilling interpretable material constitutive models from Gaussian process posteriors. CoRR David Anton, Henning Wessels, Ulrich Römer, Alexander Henkes, Jorge-Humberto Urrea-Quintero
2025	J	`jnl`	Unsupervised Constitutive Model Discovery from Sparse and Noisy Data. CoRR Vahab B. Narouie, Jorge-Humberto Urrea-Quintero, Fehmi Cirak, Henning Wessels
2024	J	`jnl`	Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks. CoRR David Anton, Jendrik-Alexander Tröger, Henning Wessels, Ulrich Römer, Alexander Henkes, Stefan Hartmann
2024	J	`jnl`	Generative adversarial networks enable outlier detection and property monitoring for additive manufacturing of complex structures. Eng. Appl. Artif. Intell. Alexander Henkes, Leon Herrmann, Henning Wessels, Stefan Kollmannsberger
2024	J	`jnl`	Mechanical State Estimation with a Polynomial-Chaos-Based Statistical Finite Element Method. CoRR Vahab B. Narouie, Henning Wessels, Fehmi Cirak, Ulrich Römer
2024	J	`jnl`	Model order reduction for transient coupled diffusion-deformation of hydrogels. CoRR Gopal Agarwal, Jorge-Humberto Urrea-Quintero, Henning Wessels, Thomas Wick
2024	J	`jnl`	Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics. CoRR Ulrich Römer, Stefan Hartmann, Jendrik-Alexander Tröger, David Anton, Henning Wessels, Moritz Flaschel, Laura De Lorenzis
2022	J	`jnl`	Inferring Displacement Fields from Sparse Measurements Using the Statistical Finite Element Method. CoRR Vahab B. Narouie, Henning Wessels, Ulrich Römer
2022	J	`jnl`	Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data. CoRR David Anton, Henning Wessels
2022	J	`jnl`	Spiking neural networks for nonlinear regression. CoRR Alexander Henkes, Jason K. Eshraghian, Henning Wessels
2022	J	`jnl`	Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics. CoRR Alexander Henkes, Henning Wessels
2021	J	`jnl`	Physics informed neural networks for continuum micromechanics. CoRR Alexander Henkes, Henning Wessels, Rolf Mahnken
2020	J	`jnl`	The Neural Particle Method - An Updated Lagrangian Physics Informed Neural Network for Computational Fluid Dynamics. CoRR Henning Wessels, Christian Weißenfels, Peter Wriggers